Week 4 - Collaborative Filtering

Learning Objectives

After today's class, you should be able to:

• Understand and apply collaborative filtering techniques, including user-based and item-based approaches, to generate personalized recommendations by leveraging user preferences, behaviors, and interactions.
• Develop and implement association rule mining and collaborative filtering techniques in Python.

Class Agenda

• Collaborative Filtering Slides
• [5 min] Break
• Assoc Rules / Collab Filtering Python Demo

Task List

• Required Reading: Chapter 15.2 - Collaborative Filtering
• Complete and Submit PA2_Instacart_Recommendations on Canvas/Gradescope.

Additional Resources

• Chapter 15 Code Examples